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Oana M. Enache
Ph.D. Student in Biomedical Data Science, admitted Autumn 2021 Stanford Student Employee, Health Policy
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Bio
Bio
Professional
Publications
Education & Certifications
MS, Duke University, Biostatistics
BA, University of California, Berkeley, Applied Mathematics
Links
http://www.oanaenache.com/
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(12)
Profiles With Related Publications
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Russ B. Altman
Kenneth Fong Professor and Professor of Bioengineering, of Genetics, of Medicine, of Biomedical Data Science, Senior Fellow at the Stanford Institute for Human-Centered AI and Professor, by courtesy, of Computer Science
Research Interests
I refer you to my web page for detailed list of interests, projects and publications. In addition to pressing the link here, you can search "Russ Altman" on http://www.google.com/
744
Total Publications
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Pau Badia i Mompel
Postdoctoral Scholar, Genetics
12
Total Publications
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Xiangqi Bai
Postdoctoral Scholar, Oncology
5
Total Publications
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Joydeep Bhadury
Senior Research Scientist-Basic Life, Stem Cell Bio Regenerative Med Institute
26
Total Publications
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Michelle Whirl-Carrillo
Principal Investigator and Director, PharmGKB, Biomedical Data Science
127
Total Publications
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Antonio Del Rio Flores
Postdoctoral Scholar, Chemistry
4
Total Publications
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Eden Deng
MD Student, expected graduation Spring 2030 Other Tech - Graduate, Technology & Digital Solutions
11
Total Publications
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Zhanying Feng
Postdoctoral Scholar, Statistics
14
Total Publications
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Andrew Gentles
Associate Professor (Research) of Pathology, of Medicine (BMIR) and, by courtesy, of Biomedical Data Science
126
Total Publications
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Nathanael S. Gray
Krishnan-Shah Family Professor
138
Total Publications
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Trevor Hastie
John A. Overdeck Professor, Professor of Statistics and of Biomedical Data Sciences, Emeritus
Research Interests
Flexible statistical modeling for prediction and representation of data arising in biology, medicine, science or industry. Statistical and machine learning tools have gained importance over the years. Part of Hastie's work has been to bridge the gap between traditional statistical methodology and the achievements made in machine learning.
331
Total Publications
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Livnat Jerby
Assistant Professor of Genetics
Research Interests
Combining and advancing functional genomics, cell engineering, synthetic biology, AI, and basic immunology to uncover, decode, rewire, and develop mechanisms to selectively eliminate and reprogram disease-driving cells as a foundation for disease treatment and prevention.
35
Total Publications
Publication Topics For This Person
Algorithms
Breast Neoplasms
Cell Line, Tumor
Cluster Analysis
Computational Biology
DNA Mutational Analysis
Drug Resistance, Neoplasm
Gene Expression Profiling
Gene Expression Regulation, Neoplastic
Genomics
Information Storage and Retrieval
Metabolic Networks and Pathways
Models, Biological
Mutation
Neoplasms
Organ Specificity
Pharmaceutical Preparations
Prognosis
Proteomics
RNA Splicing
Reproducibility of Results
Sequence Analysis, RNA
Signal Transduction
Small Molecule Libraries
Streptococcus pyogenes
Transcription, Genetic
Transcriptome
Treatment Outcome
Tumor Suppressor Protein p53
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